Agentic AI Engineer
Tasks
- Build AI agents for exception analysis and rule creation
- Build models for scenario classification and exception handling
- Build observability and evaluation for agents and rule engines
- Convert DMN XML business rules with PyDMN
- Create AI assisted test case generation
- Deploy and monitor models with MLOps pipelines
- Design agentic AI solutions for exception automation
- Develop orchestration frameworks with LangGraph and LangChain
- Enable continuous learning for new production scenarios
- Ensure reliability scalability and compliance in production
- Evaluate stability and reliability of LLM workflows
- Generate unseen exception test scenarios
- Implement feedback loops for continuous improvement
- Modernize rule engines with deterministic and AI reasoning
- Validate and simulate rules to reduce testing cycles
Perks/Benefits
- 401k plan
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
API Development | Agentic AI | Anthropic | Azure OpenAI | Business Rules | CI/CD | Cloud Native | Code Quality | Containerization | DMN | Data Analysis | Decision Management | Generative AI | Langchain | Langgraph | ML evaluation | ML observability | Machine Learning | Model Deployment | Model Monitoring | OpenAI | Probabilistic Reasoning | PyDMN | Python | Testing | Transactional Systems | XML
Education
N/A
Roles
AI | AI Engineer | AI/ML Engineer | Agentic AI Engineer | Engineer | ML Engineer | Senior Agentic AI Engineer
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